Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ninon Mounier"'
Autor:
Mattia Tomasoni, PhD, Michael Johannes Beyeler, MSc, Sofia Ortin Vela, MSc, Ninon Mounier, PhD, Eleonora Porcu, PhD, Tanguy Corre, PhD, Daniel Krefl, PhD, Alexander Luke Button, PhD, Hana Abouzeid, MD, Konstantinidis Lazaros, MD, Murielle Bochud, MD, PhD, Reinier Schlingemann, MD, PhD, Ciara Bergin, PhD, Sven Bergmann, PhD
Publikováno v:
Ophthalmology Science, Vol 3, Iss 3, Pp 100288- (2023)
Purpose: To identify novel susceptibility loci for retinal vascular tortuosity, to better understand the molecular mechanisms modulating this trait, and reveal causal relationships with diseases and their risk factors. Design: Genome-wide Association
Externí odkaz:
https://doaj.org/article/eb734cab8e804abeb89a9ca8481662f3
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Mendelian Randomization approaches are being increasingly refined, but certain statistical limitations hinder their application to GWAS. Here, the authors propose a new Mendelian Randomization method to estimate bi- directional causal effects and exp
Externí odkaz:
https://doaj.org/article/21528f32b40f4053802aec082b999ea9
Autor:
Jonathan Sulc, Anthony Sonrel, Ninon Mounier, Chiara Auwerx, Eirini Marouli, Liza Darrous, Bogdan Draganski, Tuomas O. Kilpeläinen, Peter Joshi, Ruth J. F. Loos, Zoltán Kutalik
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-13 (2021)
Jonathan Sulc et al. use principal component analysis and Mendelian randomization to conduct a comprehensive analysis of 14 body morphology metrics using data from the UK Biobank. Their results suggest that body size and adiposity have distinct impac
Externí odkaz:
https://doaj.org/article/2da3bcef86474fd78e31f2affd509a21
Autor:
Nicola Pirastu, Ciara McDonnell, Eryk J. Grzeszkowiak, Ninon Mounier, Fumiaki Imamura, Jordi Merino, Felix R. Day, Jie Zheng, Nele Taba, Maria Pina Concas, Linda Repetto, Katherine A. Kentistou, Antonietta Robino, Tõnu Esko, Peter K. Joshi, Krista Fischer, Ken K. Ong, Tom R. Gaunt, Zoltán Kutalik, John R. B. Perry, James F. Wilson
Publikováno v:
PLoS Genetics, Vol 18, Iss 6 (2022)
Diet is considered as one of the most important modifiable factors influencing human health, but efforts to identify foods or dietary patterns associated with health outcomes often suffer from biases, confounding, and reverse causation. Applying Mend
Externí odkaz:
https://doaj.org/article/f45a54236dc047c5bb6bc2085850d24a
Autor:
Jonathan Sulc, Ninon Mounier, Felix Günther, Thomas Winkler, Andrew R. Wood, Timothy M. Frayling, Iris M. Heid, Matthew R. Robinson, Zoltán Kutalik
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Most gene-by-environment interaction methods rely on the availability of the interacting environment. Here, the authors propose a robust maximum likelihood method for estimating the overall statistical interaction between a genetic risk score for a c
Externí odkaz:
https://doaj.org/article/d57fd22b9d4044d6822ee669df08a385
Autor:
Medhat Mahmoud, Nastassia Gobet, Diana Ivette Cruz-Dávalos, Ninon Mounier, Christophe Dessimoz, Fritz J. Sedlazeck
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-14 (2019)
Abstract Recent research into structural variants (SVs) has established their importance to medicine and molecular biology, elucidating their role in various diseases, regulation of gene expression, ethnic diversity, and large-scale chromosome evolut
Externí odkaz:
https://doaj.org/article/517825c5aebf44799b3b1892fb3dd17b
Autor:
Paul RHJ Timmers, Ninon Mounier, Kristi Lall, Krista Fischer, Zheng Ning, Xiao Feng, Andrew D Bretherick, David W Clark, eQTLGen Consortium, Xia Shen, Tõnu Esko, Zoltán Kutalik, James F Wilson, Peter K Joshi
Publikováno v:
eLife, Vol 8 (2019)
We use a genome-wide association of 1 million parental lifespans of genotyped subjects and data on mortality risk factors to validate previously unreplicated findings near CDKN2B-AS1, ATXN2/BRAP, FURIN/FES, ZW10, PSORS1C3, and 13q21.31, and identify
Externí odkaz:
https://doaj.org/article/e04fb6e4bc9e4bb982a2a7b59c749bb5
Autor:
Ninon Mounier, Zoltán Kutalik
Publikováno v:
Genetic Epidemiology. 47:314-331
Mendelian randomization (MR) is an epidemiological approach that uses genetic variants as instrumental variables for estimating the causal effect of a modifiable but likely confounded exposure on an outcome. Standard MR usually assumes that all inclu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc31308e4d5ed793e259b48af44c0cff
https://doi.org/10.1101/2023.03.18.23287164
https://doi.org/10.1101/2023.03.18.23287164
Mendelian Randomization (MR) is a popular method for using genetics to estimate the causal effect of a modifiable exposure on a health outcome. Single Nucleotide Polymorphisms (SNPs) are typically selected for inclusion if they pass a genome-wide sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e75ee2796c8b54090209ee52787918e
https://doi.org/10.1101/2023.01.12.523708
https://doi.org/10.1101/2023.01.12.523708